Spatial variability of excess mortality during prolonged dust events in a high-density city: a time-stratified spatial regression approach.
Man Sing WongHung Chak HoLin YangWenzhong ShiJinxin YangTa-Chien ChanPublished in: International journal of health geographics (2017)
Our model design shows the ability to predict spatial variability of mortality risk during an extreme weather event that is not able to be estimated based on traditional time-series analysis or ecological studies. Our spatial protocol can be used for public health surveillance, sustainable planning and disaster preparation when relevant data are available.
Keyphrases
- public health
- high density
- human health
- risk factors
- cardiovascular events
- cardiovascular disease
- electronic health record
- big data
- coronary artery disease
- machine learning
- artificial intelligence
- mass spectrometry
- health risk
- data analysis
- deep learning
- drinking water
- molecularly imprinted
- case control
- liquid chromatography